CN112418600A - Enterprise policy scoring method and system based on index set - Google Patents
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Abstract
The invention provides an enterprise policy scoring method and system based on an index set, which are characterized by comprising the following steps: s1, index matching of index items is carried out in one dimension according to the enterprise data; s2, after finishing the judgment of all index items of a scoring dimension, calculating the score of the current dimension according to a formula; repeating the steps S1 and S2 to obtain the score of each dimension; and then applying a formula to calculate to obtain the final total enterprise score. The enterprise is effectively evaluated in a quantitative manner, so that the efficiency and convenience of enterprise evaluation are greatly improved, and the enterprise is helped to improve the market competitiveness; meanwhile, the method can meet more complex matching requirements, and solves the problems that one condition needs to be judged according to a plurality of rules, nesting relation exists among the rules and the like.
Description
Technical Field
The invention relates to the technical field of enterprise evaluation, in particular to an enterprise policy scoring method and system.
Background
With the coming of global information age, the high and new technology industry has gained rapid development in China, and then the evaluation of high and new technology enterprises, especially the growth development guide of the high and new technology enterprises, is also becoming more and more the focus of the theoretical and practical circles.
At present, enterprise policy evaluation of high and new technology enterprises is limited to two modes of training meetings and off-line coaching of coaching institutions, evaluation and analysis modes are simple, service efficiency is low, and the enterprise growth and market competitiveness cannot be really helped.
Disclosure of Invention
The invention aims to provide an enterprise policy scoring method based on an index set, which is characterized by comprising the following steps:
s1, index matching of index items is carried out in one dimension according to enterprise data;
s2, after all index items of one scoring dimension are judged, according to the following formula
Calculating a current dimension score;
s3, repeating the steps S1 and S2 to obtain the score of each dimension; then apply the formula
step S1, index matching of index items is carried out in one dimension according to enterprise data; the method comprises the following steps of judging whether each index item is an index set, and if the index items are the index sets, executing the following steps:
a, independently calculating a judgment result of each rule according to a plurality of preset rules;
b, performing preset logic comparison operation on the judgment result of each rule to obtain an index set result;
the step a of separately calculating the judgment result of each rule according to the preset rules specifically comprises the following steps:
a.1, obtaining an index set N, wherein the index set N comprises the serial number of one or more index items and an index set N result judgment logical formula;
a.2, creating an index set N matching result set for storing matching results;
a.3, acquiring the value of the index from a pre-collected enterprise index library according to the serial number of the index item;
a.4, if the value of the index cannot be obtained from the enterprise index library, directly exiting the loop and not executing the subsequent steps;
a.5, comparing the values of the enterprise indexes which are pre-collected according to the matching rules defined by the current index items to obtain the result of meeting the index item conditions or not meeting the index item conditions, and storing the comparison result into an index set N matching result set;
and A.6, repeating the steps A.3 to A.5 until all index items in the index set are traversed, and outputting an index set N matching result set.
2. The method according to claim 1, wherein the step B of performing a predetermined logic comparison operation on the determination result of each rule to obtain the result of the index set comprises the specific steps of:
b.1, taking out a corresponding comparison result from the index set N matching result set;
b.2, substituting the corresponding comparison result taken out into a preset logic comparison formula for operation to obtain a result of the index set N, wherein when the result of the index set N is true, the enterprise accords with the condition defined by the index set; when the result of the index set N is false, the enterprise is not in accordance with the condition defined by the index set.
Preferably, after the step S3 of deriving the final total score of the enterprise, the method further includes: and associating the index item of the result that the step A.5 does not satisfy the index item condition with the service provider.
Preferably, after the step of associating the index item of the result that the step a.5 does not satisfy the index item condition with the service provider, the method further comprises the step of pushing the associated service provider to the enterprise.
Preferably, at the step of: s1, before index matching of index items is carried out according to the enterprise data in one dimension, the method further comprises the following steps of: reading the source configuration of the index items of the enterprise data, calling all interfaces for acquiring the index items through reflection, taking the acquisition interfaces as grouping conditions, and completing the calling of all the acquisition interfaces to acquire all the index items.
Preferably, at the step of: s1, index matching of index items is carried out according to enterprise data in one dimension, and the method also comprises the following steps: and reading the policy based on an artificial intelligence mode, and generating indexes which need to be reached by the policy index items.
An enterprise policy scoring system based on an index set comprises the following modules:
the method comprises the following steps that 1, index matching of index items is carried out on one dimension according to enterprise data;
module 2, after finishing the judgment of all index items of a grading dimension, according to the following formula
Calculating a current dimension score;
the module 3, the module 1 and the module 2 are repeated to obtain the score of each dimensionality; then apply the formula
Advantageous effects
By the enterprise evaluation method, the enterprise can be scored according to enterprise data, the enterprise can be determined to accord with the declared policy, indexes which need to be reached by the policy which is not satisfied by the enterprise can be navigated, the enterprise can be effectively quantitatively evaluated, the efficiency and convenience of enterprise evaluation are greatly improved, and the enterprise can be helped to improve market competitiveness;
meanwhile, more complex matching requirements can be met, and the problems that one condition needs to be judged according to a plurality of rules, nesting relations exist among the rules and the like are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of an enterprise policy scoring method based on an index set according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a result interface of an enterprise policy scoring method based on an index set according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an index set according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In this embodiment, an enterprise policy scoring method based on an index set is provided, and referring to fig. 1, the enterprise policy scoring method includes:
s1, index matching of index items is carried out in one dimension according to enterprise data;
s2, after all index items of one scoring dimension are judged, according to the following formula
Calculating a current dimension score;
n is the total number i of items following the summation symbol is the fourth.
S3, repeating the steps S1 and S2 to obtain the score of each dimension; then apply the formula
n is the total number i of items following the summation symbol is the fourth.
In this embodiment, the index items include basic potential energy, innovation capability, enterprise credit, business conditions, enterprise growth, and the like; the basic potential energy comprises independent legal qualification, enterprise employee total number, establishment date and the like; the innovation capacity comprises the amount of intellectual property rights owned by enterprises, the conversion capacity of scientific and technological achievements and the like; the enterprise credit comprises tax credit, the situation of the administrative penalty in the last half year, the situation of the administrative penalty in the current year, the situation of serious violation in the last year, the situation of serious violation in the current year and the like; the operation conditions comprise average increase of business income of the main business in nearly two years, operation profit rate, abnormal operation condition in the last year, abnormal operation condition in the current year and the like; and for enterprise growth path planning, determining which index items are contained according to actual requirements.
In this embodiment, in step S1, index matching of the index items is performed according to the enterprise data in one dimension; the method comprises the following steps of judging whether each index item is an index set, and if the index items are the index sets, executing the following steps:
a, independently calculating a judgment result of each rule according to a plurality of preset rules;
b, performing preset logic comparison operation on the judgment result of each rule to obtain an index set result;
the step a of separately calculating the judgment result of each rule according to the preset rules specifically comprises the following steps:
a.1, obtaining an index set N, wherein the index set N comprises the serial number of one or more index items and an index set N result judgment logical formula;
a.2, creating an index set N matching result set for storing matching results;
a.3, acquiring the value of the index from a pre-collected enterprise index library according to the serial number of the index item;
a.4, if the value of the index cannot be obtained from the enterprise index library, directly exiting the loop and not executing the subsequent steps;
a.5, comparing the values of the enterprise indexes which are pre-collected according to the matching rules defined by the current index items to obtain the result of meeting the index item conditions or not meeting the index item conditions, and storing the comparison result into an index set N matching result set;
and A.6, repeating the steps A.3 to A.5 until all index items in the index set are traversed, and outputting an index set N matching result set.
In this embodiment, the specific step of performing the preset logical comparison operation on the determination result of each rule to obtain the index set result in step B is as follows:
b.1, taking out a corresponding comparison result from the index set N matching result set;
b.2, substituting the corresponding comparison result taken out into a preset logic comparison formula for operation to obtain a result of the index set N, wherein when the result of the index set N is true, the enterprise accords with the condition defined by the index set; when the result of the index set N is false, the enterprise is not in accordance with the condition defined by the index set.
The set of indicators is exemplified below:
one index set comprises a plurality of matching rules, and when a plurality of rules judge the result, the final result is dynamically calculated according to the logical comparison formula of the index set, so that the condition is judged according to the rules; the logical expression in the rule is to specify the AND or-NOT relation between a plurality of rules; the matching rules include a compare operator, a compare operation value, whether necessary, etc. The comparison operators comprise logic operators such as greater than, less than, equal to, unequal to, greater than or equal to, less than or equal to, including, not including, and intervals;
referring to fig. 2, fig. 2 is a schematic diagram of an enterprise scoring result provided in this embodiment; in fig. 2, five dimensions of the enterprise scoring result are shown, respectively: basic potential energy, enterprise growth, operation condition, enterprise credit and innovation capability; it should be understood that the example of fig. 2 only shows five dimensions in one case, which does not limit the present embodiment, and other dimensions may also be used, and may be determined according to actual situations.
Referring to fig. 3, the business revenue of business of a whole, judge whether a condition of an enterprise is met, the index is concentrated to include business revenue of business of year number 2, number 3 business affiliated industry of business of year number, number 5 business of year number 5, the rule is to satisfy the following logical judgment formula (2 and 3) or (4 and 5) and show that meets the business revenue of business of; in fig. 3, the index rule may be configured, for example, the revenue of the last year main business is configured to be greater than or equal to 500 ten thousand;
for another example: the research and development cost sum accounts for the total amount of sales income in the same period, and the rule is that any one of the following is satisfied:
1. when the sales income of the last year is more than or equal to 5000 ten thousand, the research and development cost accounts for more than 5 percent;
2. the research and development cost accounts for more than 4% when the sales income of the last year is 2000-5000 ten thousand;
3. when the sales income in the last year is less than 2000 ten thousand, the research and development cost accounts for more than 3 percent.
In the embodiment, according to the bisection result, all the inconsistent enterprise index items in the judgment are listed for enterprise reference, and the enterprise is guided to improve the enterprise to meet the index conditions; obtaining a final enterprise total score at S3; then also comprises the following steps: and (C) associating the index item of the result of the step (A.5) which does not meet the index item condition with the service provider, establishing a model of the index and service system, and completing the recommendation of the service provider.
In the embodiment, S1, index matching of the index items is performed according to the enterprise data in one dimension; before, still include: and receiving the input enterprise name, judging whether the data of the enterprise is collected or not, and if so, taking the data of the enterprise stored in the local cache database as the acquired enterprise data under the condition that the data of the enterprise is effective.
In this embodiment, after determining whether the data of the enterprise has been collected, the method further includes: and under the condition that the data of the enterprise is not collected or the data of the enterprise is collected and is invalid, calling a relevant interface according to a collection method defined by the index to collect and store the enterprise data. That is, when an enterprise logs in for the first time, enterprise data needs to be collected; when the valid time of the enterprise data cached locally by the enterprise is expired, the enterprise data needs to be collected again. In a specific implementation, before the step 1 of acquiring the enterprise data, the following steps of acquiring the enterprise data are further included: reading the source configuration of the index items of the enterprise data, calling all interfaces for acquiring the index items through reflection, and automatically completing acquisition of all indexes by using all acquisition interfaces as grouping conditions instead of indexes for efficiency reasons.
In the present embodiment, at S1, index matching of index items is performed according to enterprise data in one dimension; in the past, the method also comprises the steps of reading the policy based on an artificial intelligence mode and generating indexes which need to be achieved by policy index items. The artificial intelligence mode comprises a deep neural network model, a convolution neural network model and the like. The policies are read in an artificial intelligence mode, the trouble of manual reading is saved, the efficiency is improved, and the intelligent operation is more intelligent. After the policies are read in an artificial intelligence mode, the policies can be checked by workers, and if places needing to be modified exist, the policies can be modified, so that the accuracy is further improved. The efficiency and the convenience of enterprise evaluation are greatly improved, the enterprise is helped to improve the market competitiveness, and meanwhile, the enterprise can clearly master the current condition of the enterprise, and a solid foundation is laid for subsequent development. Meanwhile, more complex matching requirements can be met, and the problems that one condition needs to be judged according to a plurality of rules, nesting relations exist among the rules and the like are solved.
The invention also provides an enterprise policy scoring system based on the index set, which comprises the following modules:
the method comprises the following steps that 1, index matching of index items is carried out on one dimension according to enterprise data;
module 2, after finishing the judgment of all index items of a grading dimension, according to the following formula
Calculating a current dimension score;
the module 3, the module 1 and the module 2 are repeated to obtain the score of each dimensionality; then apply the formula
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and additions can be made without departing from the principle of the present invention, and these should also be considered as the protection scope of the present invention.
Claims (7)
1. An enterprise policy scoring method based on an index set is characterized by comprising the following steps:
s1, index matching of index items is carried out in one dimension according to enterprise data;
s2, after all index items of one scoring dimension are judged, according to the following formula
Calculating a current dimension score;
s3, repeating the steps S1 and S2 to obtain the score of each dimension; then apply the formula
step S1, index matching of index items is carried out in one dimension according to enterprise data; the method comprises the following steps of judging whether each index item is an index set, and if the index items are the index sets, executing the following steps:
a, independently calculating a judgment result of each rule according to a plurality of preset rules;
b, performing preset logic comparison operation on the judgment result of each rule to obtain an index set result;
the step a of separately calculating the judgment result of each rule according to the preset rules specifically comprises the following steps:
a.1, obtaining an index set N, wherein the index set N comprises the serial number of one or more index items and an index set N result judgment logical formula;
a.2, creating an index set N matching result set for storing matching results;
a.3, acquiring the value of the index from a pre-collected enterprise index library according to the serial number of the index item;
a.4, if the value of the index cannot be obtained from the enterprise index library, directly exiting the loop and not executing the subsequent steps;
a.5, comparing the values of the enterprise indexes which are pre-collected according to the matching rules defined by the current index items to obtain the result of meeting the index item conditions or not meeting the index item conditions, and storing the comparison result into an index set N matching result set;
and A.6, repeating the steps A.3 to A.5 until all index items in the index set are traversed, and outputting an index set N matching result set.
2. The method according to claim 1, wherein the step B of performing a predetermined logic comparison operation on the determination result of each rule to obtain the result of the index set comprises the specific steps of:
b.1, taking out a corresponding comparison result from the index set N matching result set;
b.2, substituting the corresponding comparison result taken out into a preset logic comparison formula for operation to obtain a result of the index set N, wherein when the result of the index set N is true, the enterprise accords with the condition defined by the index set; when the result of the index set N is false, the enterprise is not in accordance with the condition defined by the index set.
3. The method of claim 1, wherein after the step of S3 obtaining the final total business score, the method further comprises: and associating the index item of the result that the step A.5 does not satisfy the index item condition with the service provider.
4. The method of claim 3, wherein after associating the indicator item of the result of step A.5 failing to satisfy the indicator item condition with the service provider, the method further comprises the step of pushing the associated service provider to the enterprise.
5. The method of claim 1, wherein at the step of: s1, before index matching of index items is carried out according to the enterprise data in one dimension, the method further comprises the following steps of: reading the source configuration of the index items of the enterprise data, calling all interfaces for acquiring the index items through reflection, taking the acquisition interfaces as grouping conditions, and completing the calling of all the acquisition interfaces to acquire all the index items.
6. The method of claim 1, wherein at the step of: s1, index matching of index items is carried out according to enterprise data in one dimension, and the method also comprises the following steps: and reading the policy based on an artificial intelligence mode, and generating indexes which need to be reached by the policy index items.
7. An enterprise policy scoring system based on an index set is characterized by comprising the following modules:
the method comprises the following steps that 1, index matching of index items is carried out on one dimension according to enterprise data;
module 2, after finishing the judgment of all index items of a grading dimension, according to the following formula
Calculating a current dimension score;
the module 3, the module 1 and the module 2 are repeated to obtain the score of each dimensionality; then apply the formula
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